Rag.NET.VectorStores.AzureAISearch 0.1.0

dotnet add package Rag.NET.VectorStores.AzureAISearch --version 0.1.0
                    
NuGet\Install-Package Rag.NET.VectorStores.AzureAISearch -Version 0.1.0
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Rag.NET.VectorStores.AzureAISearch" Version="0.1.0" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Rag.NET.VectorStores.AzureAISearch" Version="0.1.0" />
                    
Directory.Packages.props
<PackageReference Include="Rag.NET.VectorStores.AzureAISearch" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add Rag.NET.VectorStores.AzureAISearch --version 0.1.0
                    
#r "nuget: Rag.NET.VectorStores.AzureAISearch, 0.1.0"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package Rag.NET.VectorStores.AzureAISearch@0.1.0
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=Rag.NET.VectorStores.AzureAISearch&version=0.1.0
                    
Install as a Cake Addin
#tool nuget:?package=Rag.NET.VectorStores.AzureAISearch&version=0.1.0
                    
Install as a Cake Tool

Rag.NET.VectorStores.AzureAISearch

Azure AI Search vector store for Rag.NET: vector search over a search index, with native hybrid (vector + BM25) queries and OData metadata filtering.

Install

dotnet add package Rag.NET.VectorStores.AzureAISearch

Install alongside the core pipeline package (dotnet add package Rag.NET), which supplies the AddRagNet(...) builder the store registers into.

Setup

Inside your AddRagNet(...) builder callback — the credential is an AzureKeyCredential (from Azure.Core, referenced transitively via Azure.Search.Documents):

using Rag.NET.AzureAISearch;

rag.UseAzureAISearch(
    endpoint:         new Uri("https://my-search.search.windows.net"),
    indexName:        "my-rag-index",
    credential:       searchCredential,
    vectorDimensions: 1536);

Example

Create the index once at startup, then hybrid search runs inside the service rather than client-side:

using Microsoft.Extensions.DependencyInjection;
using Rag.NET.Abstractions;
using Rag.NET.AzureAISearch;

var store = provider.GetRequiredService<ICollectionManageable>() as AzureAISearchVectorStore;
await store!.InitializeAsync();

var results = await pipeline.RetrieveAsync("ISO 27001 audit requirements", new RetrievalOptions
{
    TopK            = 10,
    UseHybridSearch = true,
});

Full guide

Product Compatible and additional computed target framework versions.
.NET net10.0 is compatible.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
0.1.0 101 8/11/2026